Transcriptional Silencing of the Death Gene BNIP3 by Cooperative Action of NF-κB and Histone Deacetylase 1 in Ventricular Myocytes
Bibliographic record
Abstract
Earlier we identified a survival role for NF-kappaB in ventricular myocytes, however, the underlying mechanism was undefined. In this report we provide new mechanistic evidence that the hypoxia-inducible death factor BNIP3 is transcriptionally silenced by NF-kappaB through a mechanism that involves the cooperative actions of HDAC1. Activation of the NF-kappaB signaling pathway in ventricular myocytes suppressed basal and hypoxia-inducible BNIP3 gene activity. Basal Bnip3 gene expression was increased in cells derived from p65(-/-) deficient mice. The histone deacetylase (HDAC) inhibitor Trichostatin A (TSA 10 nM) suppressed the inhibitory actions of NF-kappaB on Bnip3 gene transcription. Basal and hypoxia- induced Bnip3 transcription was repressed by wild type but not a catalytically inactive mutant of HDAC1. Immunoprecipitation assays verified interaction of HDAC1 with wild type p65 NF-kappaB and mutations of p65 defective for transactivation in ventricular myocytes. Deletion analysis revealed canonical NF-kappaB elements within the Bnip3 promoter to be important for repression of Bnip3 gene expression by HDAC1. Further, the ability of HDAC1 to repress Bnip3 gene transcription was lost in cells derived from p65(-/-) deficient mice but was restored by repletion of p65 NF-kappaB into p65(-/-) cells. Mutations of p65 NF-kappaB defective for DNA binding but not for transactivation abrogated the inhibitory actions of HDAC1 on the Bnip3 gene transcription. Together, our findings provide new mechanistic insight into the cytoprotective actions conferred by NF-kappaB that extend to the active transcriptional repression of the death factor Bnip3 through a mechanism that is mutually dependent on HDAC-1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".